Alessandro Rozza
Alessandro Rozza
Chief Research Officer - group and Senior IEEE member
Verified email at - Homepage
Cited by
Cited by
Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data
E Colleoni, A Rozza, A Arvidsson
Journal of communication 64 (2), 317-332, 2014
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
G Patrini, A Rozza, AK Menon, R Nock, L Qu
Computer Vision and Pattern Recognition (CVPR) 2017, 1944-1952, 2017
Dynamic graph convolutional networks
F Manessi, A Rozza, M Manzo
Pattern Recognition 97, 107000, 2020
Intrinsic dimension estimation: Relevant techniques and a benchmark framework
P Campadelli, E Casiraghi, C Ceruti, A Rozza
Mathematical Problems in Engineering 2015 (1), 759567, 2015
Danco: An intrinsic dimensionality estimator exploiting angle and norm concentration
C Ceruti, S Bassis, A Rozza, G Lombardi, E Casiraghi, P Campadelli
Pattern recognition 47 (8), 2569-2581, 2014
Novel high intrinsic dimensionality estimators
A Rozza, G Lombardi, C Ceruti, E Casiraghi, P Campadelli
Machine learning 89, 37-65, 2012
Automated pruning for deep neural network compression
F Manessi, A Rozza, S Bianco, P Napoletano, R Schettini
2018 24th International conference on pattern recognition (ICPR), 657-664, 2018
Learning Combinations of Activation Functions
F Manessi, A Rozza
2018 24th International Conference on Pattern Recognition (ICPR), 61-66, 2018
Modelling political disaffection from Twitter data
C Monti, A Rozza, G Zappella, M Zignani, A Arvidsson, E Colleoni
Proceedings of the second international workshop on issues of sentiment …, 2013
Minimum neighbor distance estimators of intrinsic dimension
G Lombardi, A Rozza, C Ceruti, E Casiraghi, P Campadelli
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
Graph-based neural network models with multiple self-supervised auxiliary tasks
F Manessi, A Rozza
Pattern Recognition Letters 148, 15-21, 2021
Novel Fisher discriminant classifiers
A Rozza, G Lombardi, E Casiraghi, P Campadelli
Pattern Recognition 45 (10), 3725-3737, 2012
IDEA: Intrinsic dimension estimation algorithm
A Rozza, G Lombardi, M Rosa, E Casiraghi, P Campadelli
Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011
A robust approach for the background subtraction based on multi-layered self-organizing maps
G Gemignani, A Rozza
IEEE transactions on image processing 25 (11), 5239-5251, 2016
A survey and taxonomy of loss functions in machine learning
L Ciampiconi, A Elwood, M Leonardi, A Mohamed, A Rozza
arXiv preprint arXiv:2301.05579, 2023
Making neural networks robust to label noise: a loss correction approach. arXiv preprint
G Patrini, A Rozza, A Menon, R Nock, L Qu
arXiv preprint arXiv:1609.03683, 2016
Composition and Style Attributes Guided Image Aesthetic Assessment
L Celona, M Leonardi, P Napoletano, A Rozza
IEEE Transactions on Image Processing 31, 5009-5024, 2022
A novel graph-based fisher kernel method for semi-supervised learning
A Rozza, M Manzo, A Petrosino
2014 22nd International Conference on Pattern Recognition, 3786-3791, 2014
DANCo: Dimensionality from angle and norm concentration
C Ceruti, S Bassis, A Rozza, G Lombardi, E Casiraghi, P Campadelli
arXiv preprint arXiv:1206.3881, 2012
Novel IPCA-based classifiers and their application to spam filtering
A Rozza, G Lombardi, E Casiraghi
2009 Ninth International Conference on Intelligent Systems Design and …, 2009
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